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Bassioni, H A, Price, A D F and Hassan, T M (2005) Building a conceptual framework for measuring business performance in construction: an empirical evaluation. Construction Management and Economics, 23(05), 495-507.

Chan, J K W, Tam, C M and Cheung, R (2005) Monitoring financial health of contractors at the aftermath of the Asian economic turmoil: a case study in Hong Kong. Construction Management and Economics, 23(05), 451-8.

Ellis, R C T, Wood, G D and Keel, D A (2005) Value management practices of leading UK cost consultants. Construction Management and Economics, 23(05), 483-93.

Kirkham, R J and Boussabaine, A H (2005) Forecasting the residual service life of NHS hospital buildings: a stochastic approach. Construction Management and Economics, 23(05), 521-9.

Lee, S-H, Thomas, S R and Tucker, R L (2005) The relative impacts of selected practices on project cost and schedule. Construction Management and Economics, 23(05), 545-53.

Li, B, Akintoye, A, Edwards, P J and Hardcastle, C (2005) Critical success factors for PPP/PFI projects in the UK construction industry. Construction Management and Economics, 23(05), 459-71.

Ling, F Y Y, Ibbs, C W and Cuervo, J C (2005) Entry and business strategies used by international architectural, engineering and construction firms in China. Construction Management and Economics, 23(05), 509-20.

Nyström, J (2005) The definition of partnering as a Wittgenstein family-resemblance concept. Construction Management and Economics, 23(05), 473-81.

Zayed, T M and Halpin, D W (2005) Deterministic models for assessing productivity and cost of bored piles. Construction Management and Economics, 23(05), 531-43.

  • Type: Journal Article
  • Keywords: Bored pile; cost; cycle time; deterministic models; productivity
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190500039911
  • Abstract:

    The assessment process of productivity and cost of bored pile construction is dictated by unseen subsurface obstacles, lack of contractor experience and site planning. These problems complicate the estimator’s role in evaluating pile equipment productivity and cost. Current research discusses the assessment of piling process productivity and cost using the deterministic technique. Data are collected through questionnaires, site interviews and telephone calls to experts in various construction companies. Many variables have been considered in the piling construction process, such as pile size, depth, pouring method, soil type and construction method. Five deterministic models have been designated to assess productivity, cycle time and cost. The developed models are validated whereas 79% of the outputs have been predicted with more than 75% accuracy. Consequently, three sets of charts have been developed to provide the decision-maker with a solid planning, scheduling and control tool for piling projects. If a pile has 60’ depth with f-18 (18? diameter pile) in clay soil using a 5’ auger height, the cycle time is estimated as 56 and 65.5 minutes; however, productivity is 6 and 5 holes/day for dry and wet methods, respectively.